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Briefing
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- Eyeagnosis – 16-year old genius Kavya Kopparapu created smartphone app Eyeagnosis with 3D-printed lenses that diagnose diabetic retinopathy, side product of diabetes that leads to blindness, using only phone pictures as opposed to current 2-hour, multi-million dollar diagnostic procedure
- Artificial Intelligence Training – Trained AI using Microsoft's machine learning architecture ResNet-50 to recognize diabetic retinopathy using 34,000 retinal scans from NIH's EyeGene database
- Efficient Diagnosis for Poor – Seeks to alleviate low diagnosis levels among poor by making current diagnostic procedures more efficient to handle more people
- Project Development – Research began June 2016 with app able to spot diabetic retinopathy as accurate as human pathologist by August 2016, and have undergone testing by Aditya Jyot Eye Hospital in October 2016
- Next Steps and Challenges – Requires clinical data showing reliability in eye hospitals, countrysides, and clinics before it can be adopted in mainstream
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Accelerator
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Sector
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Healthcare/Health Sciences
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Source
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Original Publication Date
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August 3, 2017
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